Data engineering and smart analytics
The need for data analysis skills grew by 86% from 2013 to 2018. 1 Become data-driven with Google Cloud. Leverage data and gain real-time insights that improve your decision-making and accelerate innovation. Learn how to design and build data processing systems.
Data Analyst learning path
The role of a Data Analyst can vary depending on what type of industry they're in or which part of their organization they are supporting. Data Analysts gather data, analyze that data and translate the results into insights to share with business stakeholders.
Course
From Data to Insights with Google Cloud Platform
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Data to Insights in Google Cloud features interactive scenarios and hands-on labs where you can explore, mine, load, visualize, and extract insights from diverse BigQuery datasets.
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Course
Big Data & Machine Learning Fundamentals
Get started with big data and machine learning. This course provides an introduction to Google Cloud capabilities and a deeper dive of the data processing capabilities.
This course is recommended for Data and Business Analysts interested in getting started in developing data engineering skills.
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Course
Analyzing and Visualizing Data in Looker
Explore Looker's capabilities for getting the most insight out of your data. This course offers guided demos that give you practical experience with Looker's data exploration, analysis and visualization functionalities.
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Course
Developing Data Models with LookML
Go deeper with your Looker knowledge. Learn about writing LookML code, as well as how to make data accessible and interpretable for business users.
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Skill badge
Perform Foundational Data, ML, and AI Tasks in Google Cloud
Get started with big data, machine learning, and artificial intelligence. Take your first steps with Google Cloud tools like BigQuery, Cloud Speech API, and AI Platform. You'll have the opportunity to earn a Google Cloud skill badge upon completion.
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Skill badge
Exploring Data with Looker
Learn the fundamentals of data exploration in Looker and how to apply that knowledge using your company’s data in the explore interface. Complete this quest for the opportunity to receive a Google Cloud skill badge.
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Skill badge
Build LookML Objects in Looker
Get practice with the basics of Looker from designing, building, and updating dimensions and measures. You'll also learn how to create, refine, and join existing Explores. Complete this quest for the opportunity to earn a Google Cloud skill badge.
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Skill badge
Insights from Data with BigQuery
Learn about BigQuery’s basic features like writing SQL queries, creating database tables in Cloud SQL, querying public tables, and much more.You’ll have the opportunity to earn a Google Cloud skill badge upon completion.
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Skill badge
Create ML Models with BigQuery ML
What makes a good machine learning model? Learn how to create and evaluate machine learning models as well as make predictions using BigQuery ML. Prove your knowledge by completing the quest and sharing your skill badge.
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Hands on lab
Applying Advanced LookML Concepts in Looker
Get hands-on experience applying advanced LookML concepts in Looker. Use Liquid to customize and create dynamic dimensions and measures, create dynamic SQL derived tables and customized native derived tables, and use extends to modularize your LookML code.
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Hands on lab
Data Catalog Fundamentals
Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. Learn how to search and tag data assets and metadata with Data Catalog and discover how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.
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Related information
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What you'll learn
BigQuery, SQL, Data Visualization, BigQuery ML, Cloud APIs, AI Platform, Cloud Data Fusion
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Courses
4
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Labs
40
Take the next step
Data Engineer learning path
Data Engineers design solutions that ensure maximum flexibility and scalability, while meeting all required security controls.
Course
Preparing for the Google Cloud Professional Data Engineer Exam
Start preparing for your Professional Data Engineer certification exam and further your ability to collect, transform, and publish data to help organizations make data-driven decisions as a Data Engineer with this course.
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Course
Big Data & Machine Learning Fundamentals
Get started with big data and machine learning. This course provides an introduction to Google Cloud capabilities and a deeper dive of the data processing capabilities.
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Course
Data Engineering on Google Cloud Platform
Get an introduction to designing data processing systems, building end-to-end data pipelines, and analyzing data. You'll learn how to lift and shift Hadoop workloads using Dataproc, process batch and streaming data on Dataflow, manage data pipelines with Data Fusion and Cloud Composer, and more.
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Course
Serverless Data Processing with Dataflow
Advance your data processing applications by expanding your understanding of Dataflow. Learn how you can convert your business logic into data processing applications that can run on Dataflow. Review topics such as foundations, developing pipelines, and operations while covering the most important lessons for operating a data application on Dataflow.
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Skill badge
Perform Foundational Data, ML, and AI Tasks in Google Cloud
Get started with big data, machine learning, and artificial intelligence. Take your first steps with Google Cloud tools like BigQuery, Cloud Speech API, and AI Platform. You'll have the opportunity to earn a Google Cloud skill badge upon completion.
Learn more
Skill badge
Engineer Data with Google Cloud
From BigQuery, to Dataprep, to Cloud Composer & Tensorflow, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test.
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Related information
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What you'll learn
BigQuery, Dataflow, Data Fusion, Cloud Composer, BigQuery ML, IoT, TensorFlow, Dataproc, workload migration
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Courses
4
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Labs
25
Take the next step
Database Engineer learning path
A Database Engineer helps enterprise customers architect, plan, execute, and test database migration.
Course
Developing Applications on Google Cloud
Design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. This course is ideal for developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud. Learn to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.
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Course
Enterprise Database Migration
Develop the skills required to help enterprise customers architect, plan, execute, and test database migration projects. Learn how to move databases to Google Cloud while taking advantage of various Google Cloud services.
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Hands on lab
Migrating MYSQL data to Cloud SQL using Database Migration Service
Explore how to get started with Cloud SQL for MySQL, connect to Cloud SQL instances using the Cloud console, and migrate MySQL databases to Cloud SQL. Learn this and more while using different job types and connectivity options available in Database Migration Service.
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Skill badge
Manage PostgreSQL Databases on Cloud SQL
This quest features labs that will teach you how to migrate, configure, and optimize running a PostgreSQL database on Cloud SQL for PostgreSQL.
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Related information
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What you'll learn
Compute Engine, Cloud SQL, and other assorted topics
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Courses
2
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Labs
9
Take the next step
Additional courses and practice
Engineer Data in Google Cloud
Prepare for certification with practice in BigQuery, Dataprep, Cloud Composer, Tensorflow, and more.
Scientific Data Processing
Use real-life, scientific data sets in tasks like earthquake data analysis and satellite image aggregation.
Data Science on Google Cloud
Practice all aspects of ingestion, preparation, processing, querying, exploring, and visualizing data sets using Google Cloud tools and services.
Building Codeless Pipelines on Cloud Data Fusion
Get acquainted with the Cloud Data Fusion UI, try running batch and realtime pipelines, and practice using the built-in Wrangler plugin to transform your data.
Building Advanced Codeless Pipelines on Cloud Data Fusion
Dive deeper into advanced data integration features available in Cloud Data Fusion and learn best practices to build more robust, reusable, dynamic pipelines.
Industrial IoT on Google Cloud Platform
This course is a starting point for anyone interested in Industrial applications of the Internet of Things (IoT). The course covers IoT architecture, sensors and devices, connecting to Google Cloud, ingesting, processing, and analyzing IoT data.
Cloud OnBoard: Unleash Your Data Potential
With the right data skills, the sky's the limit. Expand yours at Cloud OnBoard: Unleash Your Data Potential, a free instructor-led training event. Explore the fundamentals of data analysis, machine learning, and data processing, then learn how to harness the full power of BigQuery.
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